iMac (27-inch Retina Early 2019)
Geekbench AI Score
3477
Single Precision Score
3612
Half Precision Score
1126
Quantized Score
Geekbench AI 1.1.0 for macOS AVX2
Result Information
| User | Zztony |
| Upload Date | November 10 2024 10:17 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | AMD Radeon RX Vega 56 |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| Model | iMac (27-inch Retina Early 2019) |
| Model ID | iMac19,1 |
| Motherboard | Apple Inc. Mac-AA95B1DDAB278B95 iMac19,1 |
| CPU Information | |
|---|---|
| Name | Intel Core i5-9600K |
| Topology | 1 Processor, 6 Cores |
| Identifier | GenuineIntel Family 6 Model 158 Stepping 12 |
| Base Frequency | 3.70 GHz |
| Cluster 1 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 40.00 GB |
| Transfer Rate | 2667 MT/s |
| Type | DDR4 |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2669
496.4 IPS |
|
|
Image Classification (HP)
|
100% |
2788
518.5 IPS |
|
|
Image Classification (Q)
|
96% |
136
25.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
403
6.53 IPS |
|
|
Image Segmentation (HP)
|
100% |
380
6.16 IPS |
|
|
Image Segmentation (Q)
|
99% |
237
3.84 IPS |
|
|
Pose Estimation (SP)
|
100% |
17394
20.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
16893
19.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
2427
2.84 IPS |
|
|
Object Detection (SP)
|
100% |
2228
176.7 IPS |
|
|
Object Detection (HP)
|
100% |
2292
181.8 IPS |
|
|
Object Detection (Q)
|
92% |
132
10.5 IPS |
|
|
Face Detection (SP)
|
100% |
6816
81.0 IPS |
|
|
Face Detection (HP)
|
100% |
7200
85.6 IPS |
|
|
Face Detection (Q)
|
100% |
266
3.17 IPS |
|
|
Depth Estimation (SP)
|
100% |
14505
111.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
16168
124.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
14486
113.2 IPS |
|
|
Style Transfer (SP)
|
100% |
59877
77.0 IPS |
|
|
Style Transfer (HP)
|
100% |
64785
83.3 IPS |
|
|
Style Transfer (Q)
|
96% |
80349
103.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7493
276.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
9503
350.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
8778
324.1 IPS |
|
|
Text Classification (SP)
|
100% |
398
531.0 IPS |
|
|
Text Classification (HP)
|
100% |
406
542.4 IPS |
|
|
Text Classification (Q)
|
93% |
367
492.8 IPS |
|
|
Machine Translation (SP)
|
100% |
351
6.05 IPS |
|
|
Machine Translation (HP)
|
100% |
317
5.47 IPS |
|
|
Machine Translation (Q)
|
98% |
319
5.52 IPS |
